Wiki Builder logo

Wiki Builder

Organization
dair-ai
wiki-builder

Start, structure, grow, query, and maintain reusable research wikis. Use when the user wants to create a new wiki, add sources to an existing wiki, compile source material into wiki pages, customize wiki structure or flavor, generate research maps, update indexes, or maintain knowledge bases for papers, topics, projects, products, people, organizations, or ongoing research areas.

Overview

Publisherdair-ai
Repositorydair-academy-plugins
Skill namewiki-builder
Stars
614
Forks
64
Bundled files
12
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dair-ai on GitHub. Read the source before you install it.

Installation

Install the Wiki Builder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dair-ai/dair-academy-plugins/tree/main/plugins/wiki-builder/skills/wiki-builder
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dair-ai/dair-academy-plugins.git /tmp/dair-academy-plugins
mkdir -p .claude/skills
cp -r /tmp/dair-academy-plugins/plugins/wiki-builder/skills/wiki-builder .claude/skills/wiki-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wiki Builder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wiki Builder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wiki Builder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Wiki Builder

Purpose

Create and maintain configurable research wikis. Each wiki is a standalone folder with its own sources, compiled pages, derived artifacts, prompts, and local configuration.

By default, wikis live under ~/dair-wikis/. Override the location with the WIKI_ROOT environment variable or the --root flag on init_wiki.sh.

This skill is intentionally general. Do not hard-code every wiki into the AI papers structure. Use each wiki's wiki.config.md as the source of truth for purpose, audience, page types, style rules, and update workflow.

When To Use

Use this skill when the user asks to:

  • Start a new wiki or knowledge base.
  • Create a wiki for research notes, papers, products, people, organizations, domains, projects, or events.
  • Ingest source material into an existing wiki.
  • Generate wiki pages, source pages, concept pages, maps, timelines, briefs, or indexes.
  • Query a wiki and file the answer back into the wiki.
  • Refactor or evolve a wiki's structure, requirements, or flavor.
  • Maintain provenance, source notes, and update logs for a wiki.

Default Wiki Location

Store wikis here unless the user explicitly gives a different path:

bash
${WIKI_ROOT:-$HOME/dair-wikis}/<wiki-slug>

Use lowercase kebab-case slugs, for example agent-memory, ai-evals, open-source-models, or company-research.

Core Layout

New wikis should start with this layout:

text
<wiki-slug>/
├── wiki.config.md
├── raw/
├── wiki/
│   └── index.md
├── derived/
├── prompts/
│   ├── compile-index.md
│   ├── compile-source-page.md
│   ├── compile-concept-page.md
│   ├── query-and-file.md
│   └── lint-wiki.md
├── logs/
│   └── maintenance-log.md
└── sources.md

Add more folders only when the wiki's config needs them. Common additions include wiki/papers, wiki/concepts, wiki/people, wiki/products, wiki/organizations, wiki/timelines, wiki/questions, wiki/maps, and assets.

Starting A Wiki

For new wikis, use the bundled script (resolve its path via the plugin install location, typically ${CLAUDE_PLUGIN_ROOT}/skills/wiki-builder/scripts/init_wiki.sh):

bash
bash "${CLAUDE_PLUGIN_ROOT}/skills/wiki-builder/scripts/init_wiki.sh" <slug> --title "Readable Title" --flavor research

Pass --root /custom/path to put the wiki somewhere other than ~/dair-wikis.

Supported default flavors are research, paper, domain, product, person, organization, and project. Use research when unsure.

After scaffolding:

  1. Edit wiki.config.md to match the user's real goal.
  2. Put copied or downloaded source material in raw/.
  3. Record source provenance in sources.md.
  4. Generate pages under wiki/.
  5. Record major maintenance actions in logs/maintenance-log.md.

Operating Workflow

1. Resolve The Task

Identify whether the user is asking to start, ingest, compile, query, restructure, lint, or export. If the request names an existing wiki, inspect its wiki.config.md before making changes.

2. Use The Local Config

Every wiki can have different rules. Before generating or modifying pages, read:

  • wiki.config.md
  • sources.md when source provenance matters
  • relevant files under prompts/ when the wiki has custom prompts

The local config beats generic defaults in this skill.

3. Preserve Provenance

Do not convert loose claims into wiki facts without a source. When using web pages, papers, transcripts, notes, or repository files, record enough provenance that a future agent can find the original source again.

At minimum, sources.md entries should include title, source path or URL, date added, and a short note about what it contributes.

4. Compile Pages

Prefer durable wiki pages over one-off summaries. Strong pages usually include:

  • a concise overview
  • source-grounded key points
  • links to related wiki pages
  • open questions or uncertainty
  • update notes when relevant

Keep page structure consistent with the wiki's config and flavor.

5. Maintain The Wiki

When adding or changing many pages, update wiki/index.md, relevant maps, and logs/maintenance-log.md. If the user's request changes the wiki's purpose or structure, update wiki.config.md first.

Flavors

Use references/wiki-flavors.md when choosing or adapting wiki types. The reference gives suggested page types and structures for research, paper, domain, product, person, organization, and project wikis.

Quality Bar

  • Make the first page useful immediately.
  • Prefer explicit filenames and stable slugs.
  • Separate raw source material from compiled interpretation.
  • Link related wiki pages.
  • Mark speculation and unknowns clearly.
  • Avoid rewriting the same source summary in many places.
  • Keep generated pages navigable for future agents and humans.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wiki Builder AI skill do?

Start, structure, grow, query, and maintain reusable research wikis. Use when the user wants to create a new wiki, add sources to an existing wiki, compile source material into wiki pages, customize wiki structure or flavor, generate research maps, update indexes, or maintain knowledge bases for papers, topics, projects, products, people, organizations, or ongoing research areas.

Why use Wiki Builder on TypingMind?

Because you install it once and use it with any model. Wiki Builder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wiki Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dair-ai/dair-academy-plugins/tree/main/plugins/wiki-builder/skills/wiki-builder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wiki Builder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wiki Builder?

As many as you like. As long as a model supports skills, you can use Wiki Builder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wiki Builder AI skill free?

Yes. It is published on GitHub by dair-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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